SOURCE-LINKED INTELLIGENCE
AI-BASED TESTING PYRAMID TOWARDS VIRTUAL CERTIFICATION OF NEXT-GEN COMPOSITE AEROSTRUCTURES
d on high-fidelity virtual tests interconnected across the different levels of the certification pyramid. A digital tool is being created, which works by leveraging data-driven simulation methods and Artificial Intelligence (AI), aiming to optimize the certification process, reducing computational time, and promoting fast decision-making. This AI-driven hybrid pyramid approach breaks down barriers between different testing levels, easing knowledge transfer and faster design iterations. The pAIramid project is completed with several industrial demonstrators, which will help to check the proper performance of the digital tool while proving that it is able to effectively bring in new solutions to the aerostructures’ field. Four different use cases, all of them focused on advancing technologies related to composites’ properties (functionalized thermosets and thermoplastics) and manufacturing processes (one-shot LRI and FDM with continuous fiber reinforcement) are analyzed. All of them will be matured up to TRL4, counting with relevant collaboration of RTOs and industrial partners, which
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- recordType
- award
- status
- SIGNED
- region
- EU
- value
- 4999940.22
- unit
- EUR
Evidence & attribution
European Commission, CORDIS Horizon Europe project dataset. Metadata adapted.
License: CORDIS reuse policy
First collected: 2026-09-20T03:21:21.440Z. This is not the publication date.